Smart agricultural services using deep learning, big data, and IoT / Amit Kumar Gupta [and three others].

Format:

Book

Author/Creator:

Gupta, Amit Kumar, 1981- author.

Series:

Advances in environmental engineering and green technologies (AEEGT) book series.

Advances in environmental engineering and green technologies (AEEGT) book series

Language:

English

Subjects (All):

Agricultural informatics.

Artificial intelligence--Agricultural applications.

Artificial intelligence.

Physical Description:

22 PDFs (280 pages)

Place of Publication:

Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

Summary:

"This book explores the application of deep learning, big data, IoT in agricultural services"-- Provided by publisher.

Contents:

Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things

Chapter 2. Automated fruit grading system using image fusion

Chapter 3. Fog computing as solution for IoT-based agricultural applications

Chapter 4. Green cloud

Chapter 5. Internet of things: a conceptual visualisation

Chapter 6. Internet of things and the role of wireless sensor networks in IoT

Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing

Chapter 8. Plant diseases concept in smart agriculture using deep learning

Chapter 9. Smart agriculture and farming services using IoT

Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things)

Chapter 11. An analysis of big data analytics

Chapter 12. Towards intelligent agriculture using smart IoT sensors.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

1-7998-5004-8

OCLC:

1152479163